Welcome!

Microsoft Cloud Authors: Pat Romanski, Liz McMillan, Lori MacVittie, Elizabeth White, Yeshim Deniz

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Containers Expo Blog, Cloud Security, @DXWorldExpo, SDN Journal

@CloudExpo: Blog Feed Post

In the Cloud Differentiation Means Services

And integration. Don't forget the integration

Scott Bils has a post on the "Five Mistakes that Enterprise Cloud Service Providers are Making" over on Leverhawk. Points four and five were particularly interesting because it seems there's a synergistic opportunity there.

Point number four from Scott:

Omitting SaaS and PaaS: Cloud infrastructure service providers have little incentive to migrate customers to public cloud SaaS offerings such as Salesforce.com or Workday. For many customers, migrating legacy apps to SaaS models will be the right answer. Many enterprise cloud service providers conveniently omit this lever from their transformation story and lose customer credibility as a result.

And point number five:

Failing to differentiate: Many vendors position themselves as providing managed services that make cloud models ”enterprise ready.” The problem is that every other vendor is saying the exact same thing. Enterprise cloud service providers need to think harder about what their distinctive customer value proposition really is.

I will not, for the sake of brevity and out of consideration for your time, offer an extensive list of my own posts on this very point save this one. Suffice to say, differentiation of services is something I've noted in the past and continue to note. Mostly because, as Scott points out, it's a problem.

What caught my eye here is the relationship between these two points, specifically the relationship between SaaS and services in IaaS. Scott is right when he points out the hyper-adoption rates of SaaS as compared to IaaS. As has been often pointed out, SaaS enjoys higher adoption rates than any other cloud model.

A Gartner/Goldman Sachs Cloud CIO Survey In 2011 noted 67% of respondents "already do" SaaS. The survey indicated that 75% would be using SaaS by 2017. A modest number, I think, if you look at the rates of adoption over the past few years.

Combined with this is the interest in hybrid cloud models. While usually pointing to the marriage of on- and off-premise cloud environments, hybrid cloud is more generically the joining of two disparate cloud environments. That could also be the joining of two public providers irrespective of model (SaaS, IaaS, PaaS).

What IaaS providers can do to address both points four and five simultaneously is offer services specifically designed to integrate with a variety of at least SaaS offerings. Services that provide federation and/or SSO services for and with Salesforce.com or Google, for example. Services that differentiate the IaaS provider simply by making integration easier for the ever increasing number of enterprises who are adopting SaaS solutions.

IaaS differentiation is not going to come through more varied instance sizes and configurations or through price wars. Enterprise customers understand the value - the business and operational value - of services and pricing is less a deciding factor than it is just one more factor in the overall equation. The value offered by pre-integrated services that make building a hybrid cloud easier, faster and with a greater level of reliability in the stability of the service - such as would be offered by such services - has greater weight than "is it cheap."

Vendors who offer APIs for the purposes of external control and ultimately integration know this already. While having an API has become tablestakes, what is more valued by the customer is the availability of pre-integrated, pre-tested, and validated integration with other enterprise-class systems. Having an API is great, but having existing, validated integration with VMWare vCD, for example, is of considerable value and differentiates one solution from another.

IaaS providers would do well to consider how providing similar services - pre-integrated and validated - would immediately differentiate their entire offering and provide the confidence and incentive for customers to choose their service over another.

Read the original blog entry...

More Stories By Lori MacVittie

Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

IoT & Smart Cities Stories
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors. In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determin...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.